app.py

import gradio as gr
import numpy as np
import cv2
from PIL import Image
import tempfile

def apply_modification(image, modification_type):
    """
    Apply a simple modification to demonstrate the concept
    This is a placeholder - you would replace with your actual processing
    """
    img = np.array(image)
    
    if modification_type == "small":
        # Placeholder for small modification
        img = cv2.circle(img, (img.shape[1]//2, img.shape[0]//2), 30, (255, 0, 0), -1)
    elif modification_type == "large":
        # Placeholder for large modification
        img = cv2.circle(img, (img.shape[1]//2, img.shape[0]//2), 60, (0, 0, 255), -1)
    
    return Image.fromarray(img)

with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
    gr.Markdown("""
    # Personal Image Modifier
    *Built with [anycoder](https://huggingface.co/spaces/akhaliq/anycoder)*
    """)
    
    with gr.Row():
        with gr.Column():
            input_image = gr.Image(label="Upload Your Image", type="pil")
            modification = gr.Radio(
                choices=["Small", "Large"],
                label="Modification Type",
                value="Small"
            )
            submit_btn = gr.Button("Apply Modification", variant="primary")
        
        with gr.Column():
            output_image = gr.Image(label="Modified Image")
            download_btn = gr.DownloadButton("Download Result")
    
    # Example images
    gr.Examples(
        examples=[["examples/male1.jpg", "Small"], ["examples/male2.jpg", "Large"]],
        inputs=[input_image, modification],
        outputs=output_image,
        fn=apply_modification,
        cache_examples=True
    )
    
    def process_and_download(image, mod_type):
        modified = apply_modification(image, mod_type.lower())
        temp_path = f"{tempfile.mkdtemp()}/modified.png"
        modified.save(temp_path)
        return modified, temp_path
    
    submit_btn.click(
        fn=process_and_download,
        inputs=[input_image, modification],
        outputs=[output_image, download_btn]
    )

demo.launch(
    title="Personal Image Modifier",
    footer_links=[{"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"}]
)